3D-Shape-Analysis-Paper-List
yinyunie/3D-Shape-Analysis-Paper-List
A curated repository listing academic papers, datasets, and libraries focused on 3D shape analysis, detection, and scene understanding.
955 113No licenseUpdated 2023-12-05
45
FairOverview
This skill provides a reference collection of literature and resources related to 3D computer vision. It spans topics such as 3D object detection, semantic segmentation, shape representation, NeRF, and scene reconstruction, making it useful for researchers and developers exploring spatial AI.
Capabilities
- ▸Curated paper lists for 3D shape analysis
- ▸Categorized references for 3D detection, segmentation, and generation
- ▸Links to official project repositories and arXiv preprints
Best for
Discovering state-of-the-art papers on 3D object detection and segmentation, Finding open-source codebases and projects for shape reconstruction and NeRF, Gathering resources for academic literature reviews in computer vision and spatial computing
Works with
Claude CodeChatGPTCursorGitHub Copilot
Evoa Score breakdown= Σ (score × weight)
45Task usefulness20%65 → +13.0
実タスクにどれだけ役立つか（機能の豊富さ・用途の明確さ）。 — AIによるcapabilities/use-cases解析
Code quality15%40 → +6.0
実装・指示の品質。 — AIによるSKILL.md/README解析
Maintenance15%10 → +1.5
リポジトリがどれだけ活発に保守されているか。 — GitHub 最終push日時の新しさ
Documentation12%32 → +3.8
ドキュメントの充実度・分かりやすさ。 — README/独自要約の情報量
Security15%100 → +15.0
危険・不審な挙動が無いか。 — AIによるセキュリティレビュー
Originality10%20 → +2.0
ありふれたラッパーではない独自性。 — AIによる独自性判定
Popularity8%77 → +6.2
コミュニティの採用度。 — GitHub Stars/Forks（対数スケール）
Compatibility5%100 → +5.0
対応AIエージェントの広さ。 — AIによる対応エージェント判定
Weighted total52.5 / 100
ライセンス不明/制限あり（Red）のSkillは総合スコアに0.85倍の補正を適用します。 ランキングはこのScoreのみで決まり、広告で変わりません。 算出方法の詳細 →
Security considerations
The skill consists entirely of textual links to academic papers and public repositories, posing no execution or security risks.
Categories
Summary and analysis are original content generated by AI Skills Rank. The skill's source text is not reproduced here — view it on the linked repository.